By using R, is it possible to place 2 ggplot together (i.e., on the same plot)? I wish to show a trend from 2 different data frames and instead of putting them one next to t
Creating a single combined plot with your current data set up would look something like this
p <- ggplot() +
# blue plot
geom_point(data=visual1, aes(x=ISSUE_DATE, y=COUNTED)) +
geom_smooth(data=visual1, aes(x=ISSUE_DATE, y=COUNTED), fill="blue",
colour="darkblue", size=1) +
# red plot
geom_point(data=visual2, aes(x=ISSUE_DATE, y=COUNTED)) +
geom_smooth(data=visual2, aes(x=ISSUE_DATE, y=COUNTED), fill="red",
colour="red", size=1)
however if you could combine the data sets before plotting then ggplot will automatically give you a legend, and in general the code looks a bit cleaner
visual1$group <- 1
visual2$group <- 2
visual12 <- rbind(visual1, visual2)
p <- ggplot(visual12, aes(x=ISSUE_DATE, y=COUNTED, group=group, col=group, fill=group)) +
geom_point() +
geom_smooth(size=1)
Just combine them. I think this should work but it's untested:
p <- ggplot(visual1, aes(ISSUE_DATE,COUNTED)) + geom_point() +
geom_smooth(fill="blue", colour="darkblue", size=1)
p <- p + geom_point(data=visual2, aes(ISSUE_DATE,COUNTED)) +
geom_smooth(data=visual2, fill="red", colour="red", size=1)
print(p)
Dummy data (you should supply this for us)
visual1 = data.frame(ISSUE_DATE=runif(100,2006,2008),COUNTED=runif(100,0,50))
visual2 = data.frame(ISSUE_DATE=runif(100,2006,2008),COUNTED=runif(100,0,50))
combine:
visuals = rbind(visual1,visual2)
visuals$vis=c(rep("visual1",100),rep("visual2",100)) # 100 points of each flavour
Now do:
ggplot(visuals, aes(ISSUE_DATE,COUNTED,group=vis,col=vis)) +
geom_point() + geom_smooth()
and adjust colours etc to taste.